Bio
Arnold Bregt (1959) has a Doctors (1992) degree from Wageningen University. From 1983 until 1989 he was head of the Department of Applied Information Science and Statistics at the Netherlands Soil Survey Institute in Wageningen. From 1989 until 1998 he was Head of the Department of GIS, Quantitative Methods and Information Science at the Winand Staring Centre in Wageningen. In this period he was leader of a DLO research program. In 1998 he became halftime professor in Geo-information science at the Wageningen University, followed by a fulltime position in 2002. In 2001 he was appointed as guest professor at the Huazhong University in Wuhan, China. Through his work he has been involved in international projects, consulting missions and lecturing in countries, like: China, Indonesia, Kenya, Philippines, Vietnam and Cameroon, Japan. He was one of the initiators and project leaders of the Dutch Clearinghouse for geo-information. Within Europe he has been involved in a number of working groups related to SDI developments. In the INSPIRE (The INfrastructure for SPatial InfoRmation in Europe) initiative of the EU-commission he was chairman of the Impact analysis working group. He was also one of the initiators of the Research programme "Space for geo-information", which was granted a subsidy of 20 million euro in 2003.

Abstract
From inspiring technology to valuable applications
Mobile mapping is traditionally associated with vehicles collecting geospatial data of streets and buildings. Notable examples are the data-collection vehicles of Tele-atlas and Google. Recently, however the concept and practice of mobile mapping has been expanded to all forms of mobile data collection with mobile devises such as mobile phones and UAV’s. It is also not an exclusive domain for professionals any more as amateurs play an increasing role in mobile data collection. Another recent development is the direct use of the collected data as input for in field decision making. In the presentation the current developments with associated examples are presented. As food for discussion during the symposium on mobile mapping research and application challenges are presented.

Bio
Sytze de Bruin is assistant professor Geographical information science at Wageningen University. He teaches courses on Advanced Geographical Information Science and Spatial modelling, Geostatistics and Uncertainty propagation and he has supervised several MSc and PhD thesis projects. His main research interest concerns the fitness of geo-spatial data for use in a variety of applications ranging from precision agriculture via land resource survey to radiation monitoring. Sytze de Bruin is associate editor (for Europe) of the International Journal of Geographical Information Science.

Abstract
Sensors and Learning Maps
Recent disasters such as the Fukushima nuclear accident have shown that (informal) sensor data are an important source of information for citizens and professional decision makers. Typically, the information content of sensor data changes with time while it depends on the measured values, which are in turn dependent on the locations where observations are made. Decisions about where to measure require timely integration of available data and prompt feedback as soon as new information becomes available. The expected value of information is a measure of the relevance of future observations within the context of decision making and it is proposed as a tool for automated selection of new measurement locations. On the other hand, human decision making about where to measure and which places to avoid is expected to benefit from real-time mapping using geostatistical methods and live feedback of up-to-date information. In this session we will look at simulated examples of automated mobile sensors exploring a contaminated environment and students mapping (1) an invasive species in a natural park and (2) a fictive dynamic toxic plume over Wageningen campus. The focus is on server side processing of sensor data and decision making.

Bio
Peter Bonne has been born in the midst of technological innovation in aerial mapping. His father Walter Bonne founded the first private aerial surveying company in Belgium, creating a world first in orthophoto coverage nationwide in 1 year, back in 1971. Peter completed studies in informatics, while participating in the development of early GIS systems late 70’s and early 80’s. Within the company, full digital map production based on relational databases was realized by 1989. Within the family business in GeoSpatial Technologies, Peter evolved from engineer and analyst to product design and implementation, technology and innovation research, marketing and corporate management. Since 2002, he started research for geospatial applications in the area of Public Safety, focusing at first to local police forces and fire brigades. Today, Orbit GT leads the market with innovative geospatial tools ranging from business and steering tools, analysis tools to operational and dispatching tools. The combined knowledge of the mapping industry, the world of intervention forces, and the ownership of geospatial technology, brings today’s focus to the implementation of mobile mapping techniques for situational awareness and other policing tools. Peter Bonne is now responsible for overall Product design and management and for Business Development. He participates as member of the GSDI board in Belgium and occupies several consultancy functions. Maximize your MM Investment

Abstract
We’re experiencing a momentum in the quite recent technology of mobile mapping. Panoramic imagery nor lidar scanning are new, but recent technology development has brought together the economic prerequisites to embrace Mobile Mapping as a new mass production technique for the mapping industry. The wide range of applications for this novelty have yet to be discovered in full. Where Mobile Mapping is most often perceived as mass data collection, derived products are still limited by available tools to view, analyze, measure, calculate or process the raw mobile mapping content. The presentation would share some insight on how to get the most out of your raw data, and elaborate on pro’s and con’s, features vs requirements, cases & examples.

Bio
As a founding member of 3D Laser Mapping Ltd, Graham has over 12 years experience in the LiDAR industry, leading the development, sales and marketing of airborne and terrestrial laser mapping systems. He was also responsible for starting the distribution of Riegl laser instruments in the UK, with 3D Laser Mapping Ltd. the premier distributor. He has supplied software, training, consulting and data processing services to most UK airborne LiDAR operators. Graham has over 14 years experience in the mining industry, working as a regional manager and as a mining engineer for Maptek and as a mining engineer for Rio Tinto (Rossing Uranium).

Abstract
Reducing Project Risk Using Survey-Grade Mobile Mapping
With more than six ‘mobile mapping’ systems currently on the market and no doubt further innovations to follow this paper explores the concept of mapping grade mobile data collection vs survey grade. It highlights how individual components of a mobile data collection system are integral to the overall performance; after all can ‘the whole be greater than the sum of its parts?’ or in other words based on individual system components what levels of accuracy can a mobile data collection system obtain. And finally, introduces ways of presenting system performance information to the end user. Mobile data collection has come a long way over the last twenty years with system suppliers claiming huge advances in speed, range, accuracy and repeatability to such an extent that the end user may believe they can replicate the results of more traditional surveying techniques ‘on the go’. However, as with most technology ‘mobile mapping’ systems have their limitations and trade off between performance criteria may be necessary. Communicating system performance to a potential client is therefore essential and while ‘best possible’ claims may well win a sale they will almost certainly be held to account should the final deliverable not live up to expectations. Realistic representation based on a solid understanding of the system components, operating environment, data processing methodology and end user requirements is therefore preferable.

Bio
With masters in Geographic science (Université Libre de Bruxelles, Belgium), Laurent has been working as a Project Engineer in geographic data production (Orthophotos, Mapping) for 9 years and is responsible for the Gatewing Project within the Aerial and Mobile Solutions and Services department, Couderé Geoservices

Abstract
The Gatewing X100 system : Unmanned Airborne System for fast and flexible mapping. Imagine being able to do highly accurate mapping, whenever and wherever you need to, even in weather conditions that are not considered optimum for conventional photogrammetry, whilst staying with both your feet on the ground! There is now a valuable alternative for LIDAR and topographic surveying: The X100 unmanned aerial vehicle allows to automatically take pictures from the air at an altitude of between 100 and 750 meters. The images are positioned with GPS and achieve a high precision by the large overlap. This raw footage is the basis for the creation of high quality orthophoto’s and accurate digital surface models. Make your own recent and high quality images whenever and wherever you need to. The lightweight drone with a wingspan of only 1 meter is easy to transport and to launch (by catapult) from every possible location. The system is ideal for mapping areas of medium size (1-4 km2). While the operator stays safely on the ground, the aircraft autonomously flies its pre-programmed flight lines. The full system takes 2 major steps: The first step consists of the aerial photographs being taken using the X100 unmanned airborne system. In a second step all photos are then combined automatically using the Stretchout software and turned into orthophoto’s and digital surface models.